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Benefits of TwinRCTs
Traditional RCT
TwinRCT
Make confident decisions from early stage studies
TwinRCTs improve the ability to observe treatment effects in early stage studies by increasing power without adding more participants.
Shorten time to enrollment in late stage studies
TwinRCTs reach full enrollment sooner because they require fewer participants to achieve the same power as traditional trial designs.
Attract study participants
TwinRCTs give participants a greater chance of receiving the experimental treatment because they use smaller control groups.
We work in neuroscience, immunology, metabolic disease, and more.
Alzheimer’s disease
Amyotrophic Lateral Sclerosis
Asthma
Atopic Dermatitis
COPD
Coronary Artery Disease
Crohn’s disease
Dyslipidemia
Frontotemporal dementia
Huntington's disease
Hypertension
Migraine
Obesity
Osteoarthritis
Osteoporosis
Parkinson's disease
Psoriasis
Psoriatic Arthritis
Rheumatoid Arthritis
SCI
Stroke
Type 2 Diabetes
Ulcerative Colitis
Alzheimer’s disease
Amyotrophic Lateral Sclerosis
Asthma
Atopic Dermatitis
COPD
Coronary Artery Disease
Crohn’s disease
Dyslipidemia
Frontotemporal dementia
Huntington's disease
Hypertension
Migraine
Obesity
Osteoarthritis
Osteoporosis
Parkinson's disease
Psoriasis
Psoriatic Arthritis
Rheumatoid Arthritis
SCI
Stroke
Type 2 Diabetes
Ulcerative Colitis
What are digital twins?
A trial participant’s digital twin is a forecast of their clinical outcomes on placebo. We create them using artificial intelligence trained on patient-level data from previous clinical trials and disease registries.
How digital twins enhance clinical trials
We calculate prognostic scores for each participant in a randomized clinical trial using their digital twins. Adjusting for these scores in the analysis increases power while adhering to guidance from the FDA and EMA.
Introducing TrialPioneer
Explore both traditional and AI-powered clinical trial designs that use digital twins. Make faster decisions to achieve your clinical program goals.
